Evidence map›Paper›PMID 28480252›Full record

ArticleOpen forum infectious diseases2017

Bioaerosol Sampling in Clinical Settings: A Promising, Noninvasive Approach for Detecting Respiratory Viruses.

Tham T Nguyen, Mee K Poh, Jenny Low, Shirin Kalimuddin, Koh C Thoon, Wai C Ng, Benjamin D Anderson, Gregory C Gray

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 29 citations in OpenAlex.

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  14. Near-Patient Sampling to Assist Infection Control-A Case Report and Discussion.International journal of environmental research and public health · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 2 countries.

Tham T NguyenProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore.
Mee K PohProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore.
Jenny LowDepartment of Infectious Diseases, Singapore General Hospital, Singapore.
Shirin KalimuddinDepartment of Infectious Diseases, Singapore General Hospital, Singapore.
Koh C ThoonProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore.
Wai C NgSingHealth Polyclinic, Singapore.
Benjamin D AndersonDivision of Infectious Diseases, Global Health Institute, and Nicholas School of the Environment, Duke University, Durham, North Carolina.
Gregory C GrayProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore.
Duke-NUS Medical School · SGSingapore General Hospital · SGDuke University · USKK Women's and Children's Hospital · SGSingHealth Polyclinics · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeeking a noninvasive method to conduct surveillance for respiratory pathogens, we sought to examine the usefulness of 2 types of off-the-shelf aerosol samplers to detect respiratory viruses in Singapore.

methodsIn this pilot study, we ran the aerosol samplers several times each week with patients present in the patient waiting areas at 3 primary health clinics during the months of April and May 2016. We used a SKC BioSampler with a BioLite Air Sampling Pump (run for 60 min at 8 L/min) and SKC AirChek TOUCH personal air samplers with polytetrafluoroethylene Teflon filter cassettes (run for 180 min at 5 L/min). The aerosol specimens and controls were studied with molecular assays for influenza A virus, influenza B virus, adenoviruses, and coronaviruses.

resultsOverall, 16 (33.3%) of the 48 specimens indicated evidence of at least 1 respiratory pathogen, with 1 (2%) positive for influenza A virus, 3 (6%) positive for influenza B virus, and 12 (25%) positive for adenovirus.

conclusionsAlthough we were not able to correlate molecular detection with individual patient illness, patients with common acute respiratory illnesses were present during the samplings. Combined with molecular assays, it would suggest that aerosol sampling has potential as a noninvasive method for novel respiratory virus detection in clinical settings.

Indexed as

adenovirusesbioaerosolepidemiologyinfluenza virusesrespiratory viruses

Identifiers

PMID28480252
PMCPMC5413998
OpenAlexW2567676064

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.